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1. Pain and fatigue in adult patients with multiple osteochondromas: The Netherlands.

Author

Amajjar, Ihsane, Vergauwen, Kuni, Willigenburg, Nienke W., Ham, S. John, and Smeets, Rob J. E. M.

Subjects
FATIGUE (Physiology), MUSCLE fatigue, REGRESSION analysis, PSYCHOSOCIAL factors, GENETIC disorders, ADULTS
Abstract

Background: Multiple Osteochondromas (MO) is a rare genetic disorder characterised by the presence of numerous benign bone tumours, known as osteochondromas. Within the spectrum of debilitating symptoms associated with MO, pain is recognized as a major problem. Interestingly, our clinical observations suggest that fatigue is also a significant concern but has merely been touched upon in MO literature. This study aims to (1) assess the level of pain and fatigue in adult patients with MO; (2) compare fatigue in MO to healthy subjects and patients with Rheumatoid Arthritis (RA); (3) identify associated variables for pain and fatigue in patients with MO. Methods: In this cross-sectional study, 353 adult MO patients completed a survey with validated questionnaires on pain, fatigue and psychosocial factors. Pain and fatigue were assessed with the Numeric Rating Scale (NRS), and fatigue was also measured with the Checklist Individual Strength (CIS). Fatigue (CIS) was compared with reference scores of healthy subjects and patients with RA, using a one-sample t-test. Multiple linear regression models for pain and fatigue were developed using a-priori selected independent variables based on a theoretical framework (ICF-model). Results: Pain was reported by 87.8% (NRS = 3.19±2.6) and fatigue by 90.4% (NRS = 4.1±2.6) of patients with MO. Fatigue scores for MO (CIS = 84.1±15.3) were significantly higher (p<0.001) compared to reference scores of healthy subjects and patients with RA. The multivariable analysis for pain provided a final regression model with six variables (R2 = 0.445, p<0.001) of which fear avoidance beliefs and fatigue had the strongest association. For the fatigue models NRS (R2 = 0.455, p<0.001) and CIS (R2 = 0.233, p<0.001), the strongest associations were found with anxiety and depression respectively. Conclusions: Pain and fatigue are highly prevalent in patients with MO. Fatigue is significantly higher compared to healthy subjects and patients with RA. Several variables associated with pain and fatigue have been identified that could help improve multidisciplinary treatment plans. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Recognizing Complex Upper Extremity Activities Using Body Worn Sensors

Author

Annick Timmermans, Ryanne J. M. Lemmens, Yvonne J M Janssen-Potten, Henk A.M. Seelen, Rob J. E. M. Smeets, LEMMENS, Ryanne, Janssen-Potten, Yvonne, TIMMERMANS, Annick, Smeets, Rob, Seelen, Henk, Revalidatiegeneeskunde, RS: CAPHRI School for Public Health and Primary Care, and RS: CAPHRI - R3 - Functioning, Participating and Rehabilitation

Subjects
Male, medicine.medical_specialty, Activities of daily living, Stroke patient, Healthy participant, Science, Magnetometry, Physical activity, CHILDREN, Accelerometer, CLASSIFICATION, Pattern Recognition, Automated, Task (project management), Accelerometry, Activities of Daily Living, medicine, Humans, Set (psychology), Stroke, Multidisciplinary, business.industry, Middle Aged, Wrist, medicine.disease, LIFE, PHYSICAL-ACTIVITY, Case-Control Studies, ARM, Physical therapy, Medicine, Female, WEARABLE SENSORS, business, Psychomotor Performance, STROKE, Research Article
Abstract

To evaluate arm-hand therapies for neurological patients it is important to be able to assess actual arm-hand performance objectively. Because instruments that measure the actual quality and quantity of specific activities in daily life are lacking, a new measure needs to be developed. The aims of this study are to a) elucidate the techniques used to identify upper extremity activities, b) provide a proof-of-principle of this method using a set of activities tested in a healthy adult and in a stroke patient, and c) provide an example of the method’s applicability in daily life based on readings taken from a healthy adult. Multiple devices, each of which contains a tri-axial accelerometer, a tri-axial gyroscope and a tri-axial magnetometer were attached to the dominant hand, wrist, upper arm and chest of 30 healthy participants and one stroke patient, who all performed the tasks ‘drinking’, ‘eating’ and ‘brushing hair’ in a standardized environment. To establish proof-of-principle, a prolonged daily life recording of 1 participant was used to identify the task ‘drinking’. The activities were identified using multi-array signal feature extraction and pattern recognition algorithms and 2D-convolution. The activities ‘drinking’, ‘eating’ and ‘brushing hair’ were unambiguously recognized in a sequence of recordings of multiple standardized daily activities in a healthy participant and in a stroke patient. It was also possible to identify a specific activity in a daily life recording. The long term aim is to use this method to a) identify arm-hand activities that someone performs during daily life, b) determine the quantity of activity execution, i.e. amount of use, and c) determine the quality of arm-hand skill performance. This paper was funded by Adelante, Centre of Expertise in Rehabilitation and Audiology, Hoensbroek, the Netherlands. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Published
2015

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